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Learning deep representations of enzyme thermal adaptation
Gang Li, Filip Buric, Jan Zrimec, Sandra Viknander, Jens Nielsen, Aleksej Zelezniak, Martin K. M. Engqvist
Izvirni znanstveni članek
Oznake: bioinformatika;optimalna temperatura rasti;termostabilnost proteinov;globoko ucenje;bioinformatics;deep neural networks;enzyme catalytic temperatures;optimal growth temperatures;protein thermostability;transfer learning;
Temperature is a fundamental environmental factor that shapes the evolution of organisms. Learning thermal determinants of protein sequences in evolution thus has profound significance for basic biology, drug discovery, and protein engineering. Here, we use a data set of over 3 million BRENDA enzyme ...
Leto: 2022 Vir: Nacionalni inštitut za biologijo (NIB)
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